Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cao D Nguyen"'
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176341 (2017)
We presented a risk assessment model to distinguish between type 1 diabetes (T1D) affected and unaffected siblings using only three single nucleotide polymorphism (SNP) genotypes. In addition we calculated the heritability from genome-wide identity-b
Externí odkaz:
https://doaj.org/article/0c2cba7874d54c25a7a08b52ca256ffd
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176341 (2017)
PLoS ONE
PLoS ONE
We presented a risk assessment model to distinguish between type 1 diabetes (T1D) affected and unaffected siblings using only three single nucleotide polymorphism (SNP) genotypes. In addition we calculated the heritability from genome-wide identity-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c83f57695f8c672c7a4dde95121068f
http://europepmc.org/articles/PMC5433695?pdf=render
http://europepmc.org/articles/PMC5433695?pdf=render
Publikováno v:
IEEE Transactions on Cybernetics. 43:143-154
Multiple-instance learning (MIL) is a supervised learning technique that addresses the problem of classifying bags of instances instead of single instances. In this paper, we introduce a rule-based MIL algorithm, called mi-DS, and compare it with 21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709185576e6353269030e3860067c400
https://doi.org/10.1109/tsmcb.2012.2201468
https://doi.org/10.1109/tsmcb.2012.2201468
Publikováno v:
Journal of Neurogenetics. 25:40-51
Down syndrome (DS), caused by trisomy of human chromosome 21 (HSA21), is a common genetic cause of cognitive impairment. This disorder results from the overexpression of HSA21 genes and the resulting perturbations in many molecular pathways and cellu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7f9e043ef0bf2a9bffada4aee7f34aa
https://doi.org/10.3109/01677063.2011.558606
https://doi.org/10.3109/01677063.2011.558606
Autor:
Cao D. Nguyen, Krzysztof J. Cios
Publikováno v:
Information Sciences. 178:4205-4227
We introduce a novel clustering algorithm named GAKREM (Genetic Algorithm K-means Logarithmic Regression Expectation Maximization) that combines the best characteristics of the K-means and EM algorithms but avoids their weaknesses such as the need to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f01ea03d3cba298301f9d66fd5d13d5
https://doi.org/10.1016/j.ins.2008.07.016
https://doi.org/10.1016/j.ins.2008.07.016
Publikováno v:
Journal of Bioinformatics and Computational Biology. :203-222
We introduce a new algorithm, called ClusFCM, which combines techniques of clustering and fuzzy cognitive maps (FCM) for prediction of protein functions. ClusFCM takes advantage of protein homologies and protein interaction network topology to improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0ea3972227e9edc435b219deb85ac0f
https://doi.org/10.1142/s0219720008003333
https://doi.org/10.1142/s0219720008003333
Publikováno v:
Journal of Bioinformatics and Computational Biology. :739-753
Protein–protein interactions play a defining role in protein function. Identifying the sites of interaction in a protein is a critical problem for understanding its functional mechanisms, as well as for drug design. To predict sites within a protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a721b248fe61beaba94b683ed9e536c7
https://doi.org/10.1142/s0219720007002722
https://doi.org/10.1142/s0219720007002722
Publikováno v:
PRICAI 2008: Trends in Artificial Intelligence ISBN: 9783540891963
PRICAI
PRICAI
Predicting protein functions is one of most challenging problems in bioinformatics. Among several approaches, such as analyzing phylogenetic profiles, homologous protein sequences or gene expression patterns, methods based on protein interaction data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d1b7a1a5281afba5867eb5d0036ddc
https://doi.org/10.1007/978-3-540-89197-0_73
https://doi.org/10.1007/978-3-540-89197-0_73
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783540260769
PAKDD
PAKDD
Hierarchical text classification concerning the relationship among categories has become an interesting problem recently. Most research has focused on tree-structured categories, but in reality directed acyclic graph (DAG) – structured categories,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b41ce486229f136aa0f7c6bcd07b0587
https://doi.org/10.1007/11430919_36
https://doi.org/10.1007/11430919_36